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机构地区:[1]中国农业大学现代精细农业系统集成研究教育部重点实验室,北京100083 [2]河北农业大学信息科学与技术学院,保定071001
出 处:《农业机械学报》2014年第6期38-46,19,共10页Transactions of the Chinese Society for Agricultural Machinery
基 金:国家自然科学基金资助项目(31371532);国家高技术研究发展计划(863计划)资助项目(2013AA102406);河北省科技计划自筹经费项目(13237210)
摘 要:农林作物的三维重建对于研究其生物学特性、冠层光照分布以及农业机器人应用等都具有重要的作用。农林作物结构比较复杂,快速准确地对农林作物进行三维重建具有较大的挑战性,农林作物三维重建方法得到了相关研究领域的广泛关注。本文根据使用的核心设备或技术的不同,将常见的农林作物三维重建方法分为4类,即基于规则的方法、基于图像的方法、基于扫描的方法和基于三维数字化仪的方法。按此分类,总结阐述了各种方法的硬件系统及其在农林作物三维重建中的应用情况,分析和比较了不同方法优缺点及应用范围,提出了农林作物三维重建的未来研究发展趋势。3D reconstruction of agriculture and forestry crops plays an important role in the studies on the biological characteristics of the crop, canopy light distribution and agricultural robot applications. Structures of crops are complex. Fast and accurate three-dimensional reconstruction of the crop is a challenging task. Crop 3D reconstruction methods have caused extensive concerns in the relevant field of study. This paper reviewed the methods of 3D reconstruction of agriculture and forestry crops. According to the technology and core device used, those methods are divided into four categories, rule-based method, image-based method, scan-based method and method based on 3D digitizer. According to this classification, the hardware of the various methods and applications in agriculture and forestry crop 3D reconstructions were summarized and described and the advantages and disadvantages of different methods were analyzed and compared. Finally, the development trend of the crop reconstruction was discussed.
分 类 号:Q944[生物学—植物学] TP391.41[自动化与计算机技术—计算机应用技术]
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